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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 18510
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    Explanations

    fractions

    oai_token-act-pair · gpt-3.5-turbo

    numerical representations or values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Lumpur
    -0.77
    awaru
    -0.73
     millenn
    -0.68
    espie
    -0.66
    isoft
    -0.64
     hygiene
    -0.62
    orative
    -0.62
    iage
    -0.61
    folk
    -0.61
    rolet
    -0.60
    POSITIVE LOGITS
    Password
    1.27
    125
    1.16
    120
    1.14
    st
    1.12
    ½
    1.11
    000000
    1.00
    0000000
    0.97
    âģ
    0.93
    128
    0.92
    GB
    0.86
    Activations Density 0.092%

    No Known Activations